IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt2bd6m65k.html
   My bibliography  Save this paper

Smart Parking Linked to Transit: Lessons Learned from the Field Test in San Francisco Bay Area of California

Author

Listed:
  • Shaheen, Susan
  • Kemmerer, Charlene

Abstract

Rising demand for parking at suburban transit stations, such as the Bay Area Rapid Transit (BART) District in California, necessitates strategies to manage traveler demand. To better manage parking supply, researchers implemented a smart parking field test at the Rockridge BART station from 2004 to 2006 to evaluate the effects of smart parking technologies (changeable message signs (CMSs), Internet reservations and billing, mobile phone and personal digital assistant communications, and a wireless parking lot counting system) on transit ridership and response to service pricing. Researchers employed expert interviews, Internet surveys, focus groups, and parking reservation data to conduct this analysis. Survey data indicated that the field test increased BART trips and resulted in 9.7 fewer miles per participant per month on average. Key lessons learned include that it would have been beneficial to anticipate additional time for project scoping and permitting, and fixed wayfinding signs were beneficial in both directing vehicles from the highway to the smart parking lot and addressing resident concerns about increased traffic. Additionally, the majority of participants continued to use the service when fees were implemented. However, the CMSs were not widely employed in users' decision-making processes in this application. Finally, the wireless counting system worked well, with the exception of the in-ground sensors, which were prone to miscounts. This paper provides an overview of the project and key literature, behavioral effects of the field test, and lessons learned.

Suggested Citation

  • Shaheen, Susan & Kemmerer, Charlene, 2008. "Smart Parking Linked to Transit: Lessons Learned from the Field Test in San Francisco Bay Area of California," Institute of Transportation Studies, Working Paper Series qt2bd6m65k, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt2bd6m65k
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/2bd6m65k.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    2. Goldberg, Pinelopi Koujianou, 1995. "Product Differentiation and Oligopoly in International Markets: The Case of the U.S. Automobile Industry," Econometrica, Econometric Society, vol. 63(4), pages 891-951, July.
    3. Hensher, David A. & Ton, Tu T., 2000. "A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(3), pages 155-172, September.
    4. Fred Mannering & Clifford Winston, 1985. "A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 215-236, Summer.
    5. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    6. Ingram, Gregory K. & Zhi Liu, 1997. "Motorization and the provision of roads in countries and cities," Policy Research Working Paper Series 1842, The World Bank.
    7. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    8. Ingram, Gregory K. & Zhi Liu, 1999. "Determinants of motorization and road provision," Policy Research Working Paper Series 2042, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rodier, Caroline & Shaheen, Susan A. & Blake, Tagan, 2010. "Smart Parking Pilot on the Coaster Commuter Rail Line in San Diego, California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt06s723rw, Institute of Transportation Studies, UC Berkeley.
    2. Tayo Fabusuyi & Robert C. Hampshire & Victoria A. Hill & Katsunobu Sasanuma, 2014. "Decision Analytics for Parking Availability in Downtown Pittsburgh," Interfaces, INFORMS, vol. 44(3), pages 286-299, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salon, Deborah, 2008. "Neighborhoods, Cars, and Commuting in New York City: A Discrete Choice Approach," Institute of Transportation Studies, Working Paper Series qt1673h3w3, Institute of Transportation Studies, UC Davis.
    2. Salon, Deborah, 2009. "Neighborhoods, cars, and commuting in New York City: A discrete choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 180-196, February.
    3. Salon, Deborah, 2006. "Cars and the City: An Investigation of Transportation and Residential Location Choices in New York City," University of California Transportation Center, Working Papers qt1br223vz, University of California Transportation Center.
    4. Richard Grimal, 2017. "Modeling Auto-Mobility: Combining Cohort Analysis with Panel Data Econometrics," Post-Print hal-02162281, HAL.
    5. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    6. Lawrence Goulder, 2007. "Distributional and Efficiency Impacts of Increased U.S. Gasoline Taxes," Discussion Papers 07-009, Stanford Institute for Economic Policy Research.
    7. Pereira, Pedro & Ribeiro, Tiago & Vareda, João, 2013. "Delineating markets for bundles with consumer level data: The case of triple-play," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 760-773.
    8. Beser Hugosson, Muriel & Algers, Staffan & Habibi, Shiva & Sundbergh, Pia, 2014. "The Swedish car fleet model: evaluation of recent applications," Working papers in Transport Economics 2014:18, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 10 Nov 2014.
    9. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    10. Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
    11. Antonio M. Bento & Lawrence H. Goulder & Emeric Henry & Mark R. Jacobsen & Roger H. von Haefen, 2005. "Distributional and Efficiency Impacts of Gasoline Taxes: An Econometrically Based Multi-market Study," American Economic Review, American Economic Association, vol. 95(2), pages 282-287, May.
    12. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    13. Genevieve Giuliano & Dhiraj Narayan, 2003. "Another Look at Travel Patterns and Urban Form: The US and Great Britain," Urban Studies, Urban Studies Journal Limited, vol. 40(11), pages 2295-2312, October.
    14. repec:hal:spmain:info:hdl:2441/10084 is not listed on IDEAS
    15. Taha Rashidi & Abolfazl Mohammadian & Frank Koppelman, 2011. "Modeling interdependencies between vehicle transaction, residential relocation and job change," Transportation, Springer, vol. 38(6), pages 909-932, November.
    16. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.
    17. John Eakins, 2013. "The Determinants of Household Car Ownership: Empirical Evidence from the Irish Household Budget Survey," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 144, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    18. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.
    19. Matas, Anna & Raymond, José-Luis & Roig, José-Luis, 2009. "Car ownership and access to jobs in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 607-617, July.
    20. Guerra, Erick, 2015. "The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 171-180.
    21. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.

    More about this item

    Keywords

    UCD-ITS-RR-08-40; Engineering;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt2bd6m65k. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.